Download Dataset XYZ file

Name CA-9-RR-training
Extended ID CA-9-RR-training_HedmanRotheJohanssonSandinLarssonMiyamoto__DS_2n8titcsowuj_0
Description Random-random configurations from CA-9 dataset used for training NNP_RR potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
Authors Daniel Hedman
Tom Rothe
Gustav Johansson
Fredrik Sandin
J. Andreas Larsson
Yoshiyuki Miyamoto
Elements C (100.0%)
Number of Data Objects 20,013
Number of Configurations 20,013
Number of Atoms 1,100,042
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects Too many to display
ColabFit ID DS_2n8titcsowuj_0
Files colabfitspec.json

No uploaded content is transferred in ownership from the original creators to ColabFit. All content is distributed under the license specified by its contributor who has stated that he or she has the authority to share it under the specified license.